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Conference papers

Visualizing Readable Instance Graphs of Ontology with Memo Graph

Abstract : In the context of the Captain Memo memory prosthesis for Alzheimer’s patients, we want to generate the family/entourage tree of the user from data structured based on the PersonLink ontology. This graph ought to be accessible and readable to this particular user. In our previous work, we proposed an ontology visualization tool called Memo Graph. It aims to offer an accessible visualization to Alzheimer’s patients. In this paper, we extend it to address the readability requirement based on the IKIEV approach. It extracts the most important instances (key-instances) from ontology and generates a “summary instance graph” (middle-out browsing method). The extraction and visualization processes are undertaken incrementally. First, an “initial summary instance graph” is generated, then permitting iteratively the visualization of supplementary key-instances as required. Key-instances’ extraction is based on measures that take into account the semantic similarity between the ontological elements and the user’s navigation history.
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Contributor : Elisabeth Métais Connect in order to contact the contributor
Submitted on : Monday, February 3, 2020 - 6:13:49 PM
Last modification on : Monday, February 21, 2022 - 3:38:18 PM




Fatma Ghorbel, Wafa Wali, Fayçal Hamdi, Elisabeth Metais, Bilel Gargouri. Visualizing Readable Instance Graphs of Ontology with Memo Graph. ICONIP 2019. International Conference on Neural Information Processing, Dec 2019, Sydney, Australia. pp.127-139, ⟨10.1007/978-3-030-36718-3⟩. ⟨hal-02465333⟩



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